# optimizer
optimizer = dict(type='SGD', lr=0.0006, momentum=0.9, weight_decay=0.0005)

#optimizer = dict(type='AdamW', lr=0.0006, momentum=0.9, weight_decay=0.0001)



optimizer_config = dict()
# learning policy
lr_config = dict(policy='poly', power=0.75, min_lr=1e-6, by_epoch=False)
#lr_config = dict(policy='poly', power=0.75, min_lr=1e-5, by_epoch=False)
# runtime settings
runner = dict(type='IterBasedRunner', max_iters=80000)

checkpoint_config = dict(by_epoch=False, interval=1500)
evaluation = dict(interval=1500, metric='mIoU', pre_eval=True)


